Clinical Whole-Genome Sequencing Assay for Rapid Mycobacterium tuberculosis Complex First-Line Drug Susceptibility Testing and Phylogenetic Relatedness Analysis

Author:

Shaw Bennett1,von Bredow Benjamin12ORCID,Tsan Allison1,Garner Omai1,Yang Shangxin1ORCID

Affiliation:

1. Department of Pathology and Laboratory Medicine, UCLA David Geffen School of Medicine, Los Angeles, CA 90095, USA

2. Department of Pathology, Oakland University William Beaumont School of Medicine, Rochester, MI 48309, USA

Abstract

The global rise of drug resistant tuberculosis has highlighted the need for improved diagnostic technologies that provide rapid and reliable drug resistance results. Here, we develop and validate a whole genome sequencing (WGS)-based test for identification of mycobacterium tuberculosis complex (MTB) drug resistance to rifampin, isoniazid, pyrazinamide, ethambutol, and streptomycin. Through comparative analysis of drug resistance results from WGS-based testing and phenotypic drug susceptibility testing (DST) of 38 clinical MTB isolates from patients receiving care in Los Angeles, CA, we found an overall concordance between methods of 97.4% with equivalent performance across culture media. Critically, prospective analysis of 11 isolates showed that WGS-based testing provides results an average of 36 days faster than phenotypic culture-based methods. We showcase the additional benefits of WGS data by investigating a suspected laboratory contamination event and using phylogenetic analysis to search for cryptic local transmission, finding no evidence of community spread amongst our patient population in the past six years. WGS-based testing for MTB drug resistance has the potential to greatly improve diagnosis of drug resistant MTB by accelerating turnaround time while maintaining accuracy and providing additional benefits for infection control, lab safety, and public health applications.

Funder

UCLA Department of Pathology and Laboratory Medicine

Publisher

MDPI AG

Subject

Virology,Microbiology (medical),Microbiology

Reference43 articles.

1. (2023, May 01). Tuberculosis | Newsroom | Global Health | CDC, Available online: https://www.cdc.gov/globalhealth/newsroom/topics/tb/index.html.

2. (2023, May 01). Tuberculosis. Available online: https://www.who.int/news-room/fact-sheets/detail/tuberculosis.

3. COVID-19’s Devastating Effect on Tuberculosis Care—A Path to Recovery;Pai;N. Engl. J. Med.,2022

4. (2023, May 01). Global Tuberculosis Report 2021. Available online: https://www.who.int/publications/i/item/9789240037021.

5. Khawbung, J.L., Nath, D., and Chakraborty, S. (2021). Drug resistant Tuberculosis: A review. Comp. Immunol. Microbiol. Infect. Dis., 74.

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